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Efforts to achieve a generalized JNET classification using an online survey
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Taku Sakamoto1,
Takahisa Matsuda1,
Yutaka Saito1 |
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1Endoscopy Division, National Cancer Center Hospital |
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| Magnifying narrow-band imaging (NBI) is a modality that is crucial for arriving at differential diagnoses for neoplastic and non-neoplastic lesions identified during colonoscopy. However, previously there was no consensus as to the interpretations of some of the NBI classifications in Japan. To settle this issue, the Japan NBI Expert Team (JNET) was organized in 2011 to develop specific NBI classifications. The JNET classification system was proposed based on achieving histologic diagnostic accuracy via online surveys.For general applicability, it was necessary to prove the reliability of the JNET classification system so that all endoscopists would evaluate their endoscopic findings in a consistent manner. Therefore, a follow-up online survey has been planned. The primary endpoint will be to procure responses from a proportion of the experienced endoscopists similar to that of the first online survey. The secondary endpoints include diagnostic accuracy in some of the additional findings, and a comparison of the diagnostic accuracy of non-magnifying white light observation and magnifying NBI observation.We will conduct the second online survey by requesting responses from members of the JGES and ESGE to evaluate for international acceptability. First, we will investigate the diagnostic accuracy among the European endoscopists using the same images as those used in the Japanese online survey. Second, we will evaluate the efficacy of an educational movie that introduces the JNET classification system. The educational movie will be made by the experienced Japanese endoscopists to develop a universal understanding of the JNET classification system.We plan to present the results of the online survey and discuss future issues at this workshop. |
Index Term 1: Magnifying NBI
Index Term 2: JNET |
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